2011 GOES-R Science Week
Risk Reduction Annual Meeting
21-23 September 2011
National Space Science and Technology Center
Room 4078
Huntsville, Alabama
Last Updated: 15 Sept 2011
Meeting Goal: Recognize the accomplishments of the GOES-R Risk Reduction Program participants over the past year and make recommendations for the coming year.
Conference Objectives:
- Review the progress of GOES-R Risk Reduction continuing projects over the past year.
- Present results/issues/science from the GOES-R Risk Reduction participants including:
data fusion applications/techniques, proxy data and interactions with anticipated end-users. - Discuss/review/finalize objectives for all projects for the coming year.
- Inform the GOES-R Program Office and the GOES-R Risk Reduction Technical Advisory Committee (TAC) on the status of the GOES-R Risk Reduction program.
Wednesday, 21 September:
Day 1: Welcome and Introductions, Science Presentations
Chairs: Ingrid Guch and Mark DeMaria
Note: All times are Central Time
12-1:30pm Registration
1:30pm Welcome Remarks/Logistics John Horack, UAH VP-Research
Dan Schumacher,
Director of NASA-MSFC Office of Science and Technology
1:40 pm Meeting Objectives and Agenda Mark DeMaria/Ingrid Guch
1:50 pm NWS Update Mike Johnson
2:10 pm Proving Ground Update Steve Goodman
2:30 pm AWG Update Jaime Daniels
2:50 pm JPSS Update Mitch Goldberg
3:10 pm Break
3:20 pm CIRA, Knaff, TC rapid intensity forecasting
3:40 pm CIMSS, Lazarra, High latitude winds
4:00 pm STAR, Lazslo, solar energy applications
4:20 pm UAH, Mecikalski, Improved convective initiation algorithm with GOES winds
4:40 pm CICS, Wang, GPM rainfall
5:00 pm Logistics for breakout sessions Ingrid Guch
5:05 pm TAC Meets
5:45 pm Reception at Burritt Museum on Monte Sano Mountain (burrittonthemountain.com)
Thursday, 22 September:
Day 2: Breakouts and Poster Sessions
Chairs: Ingrid Guch and Mark DeMaria
Note: All times are Central Time
7-8:30 am Registration and Poster Set up (location TBD)
8:30 am Welcome Ingrid Guch
8:35 am GPO Status Report Greg Mandt
8:55 am Breakouts: “Connecting GOES-R Capabilities to User Needs”
High-Impact Weather M. Johnson, DeMaria, D. Reynolds
Observations and Techniques Schrab, Boukabarra, Yoe
Applications, Testbeds and Training Motta, Gurka, Steve Weiss
10:30 am Break
10:45 am Cooperative Institute/CREST/STAR Directors Panel (CREST, CIFAR, ESSC, CIOSS, CICS, CIRA, CIMSS, STAR) 7-minute
introduction for each (current and potential GOES-R research) followed by Q&A
12:00 pm Lunch and Presentation - NASA Short-term Prediction Research and Transition
1:30 pm Report from “High Impact Weather” Breakout Session
1:45 pm Report from “Observations and Techniques” Breakout Session
2:00 pm Report from “Applications, Testbeds and Training” Breakout Session
2:15 pm -3:07pm New start thematic areas relating to “High Impact Weather”
(each PI in the thematic area is asked to present 2 slides indicating what they plan for the new start (objectives and techniques) and,
if applicable, 1 slide introducing any related scientific poster(s) with preliminary results. After each PI in the thematic area has
presented the TAC will have the opportunity to ask questions of PIs to better understand the activities planned.)
2:15 pm Aviation (Webley, Pavolonis, Carey)
2:27 pm Lightning (Carey, Koshak, Kuhlman, McCaul)
2:43 pm Precipitation (Dong, Adler, Rabin)
2:55 pm Severe Weather and Tropical Cyclones (Petersen, Lindsey, Knaff)
3:07 pm Poster Session and Break Part I, “High Impact Weather” room 2096
3:45pm - 4:30 pm New Start thematic areas relating to “Observations and Techniques”
(each PI in the thematic area are asked to present 2 slides indicating what they plan for the new start
(objectives and techniques) and, if applicable, 1 slide introducing any related scientific poster(s) with
preliminary results. After each PI has presented the TAC will have the opportunity to ask questions of
PIs in the thematic area to better understand the activities planned. )
3:45 pm Imagery (Gladkova) and Infrastructure/McIdas-X (Achtor)
3:53 pm Land Properties (Kongoli), Ocean (Strub) and Clouds (Mahani, Maturi)
4:09 pm Data Assimilation: CRTM (Weng), ABI (Zupanski),
JCSDA FFO project (Navon-Fuelberg), GLM, (Fierro, MacGorman), AMVs (Daniels), ABI (Jun Li),
Warn on Forecast (Thomas Jones), Radar Fusion (Ming Xie)
4:41 pm Cal/Val (Gunshor)
4:45 pm Poster Session and Break Part II, “Observations and Techniques”
5:30 pm TAC meets
Dinner on your own
Friday, 23 September:
Day 3: Poster Session and TAC Discussions
Chairs: Steve Goodman and Jim Gurka
(each PI in the thematic area are asked to present 2 slides indicating what they plan for the new start
(objectives and techniques) and, if applicable, 1 slide introducing any related scientific poster(s) with
preliminary results. After each PI has presented the TAC will have the opportunity to ask questions of PIs
in the thematic area to better understand the activities planned. )
Note: All times are Central Time
7-8:30 am Registration and Poster Setup
8:30am – 9:40am New Start thematic areas relating to “Applications, Testbeds and Training”
8:30am Agriculture and Health (Hain, Tian)
8:40am Air Quality (Zhang, Kondragunta)
8:50am Space Weather (Denig)
9:05am Proxy Radiance Data (Xue)
9:10am Training (Ackerman, Connell)
9:20am Poster Session and Break Part III, “Applications, Testbeds and Training”
10:05am-11:30am Wrap-up
10:05am TAC meets; Posters taken down
10:35am TAC recommendations/findings and discussion
11:30am R3 Meeting adjourns
Appendix: Project Names for Thematic Area Sessions
Project Names for “High Impact Weather” Presentations
2:15 pm Aviation
Webley, pwebley@gi.alaska.edu , Validation of GOES-R Volcanic Ash Products: Near Real-Time Operational
Decision Support/Hazard Analysis
Pavolonis, Mike.Pavolonis@noaa.gov , Development of a GOES-¬R Automated Volcanic Cloud Alert System
Carey, larry.carey@nsstc.uah.edu , Integrated GOES-R GLM/ABI approaches for the detection and forecasting of
convectively induced turbulence
2:27 pm Lightning
Carey, larry.carey@nsstc.uah.edu , The GOES-R GLM Lightning Jump Algorithm: Research to Operational Algorithm
Koshak, william.koshak@nasa.gov , The GLM Ground Flash Fraction Retrieval Algorithm: Improvement, Testing,
and Demonstration
Kuhlman, Kristin.Kuhlman@noaa.gov , Storm Tracking and Lightning Cell Clustering using Geostationary Lightning
Mapping Data for Data Assimilation and Forecast Applications
McCaul, bill.mccaul@msfc.nasa.gov , The WRF Lightning Forecast Algorithm for GLM: Refinement and
Incorporation into Convection-allowing Ensemble Forecasts
2:43 pm Precipitation
Dong, dong@aero.und.edu , Improving GOES-R Cloud and Precipitation Products Associated with Deep Convective Systems
by using NEXRAD Radar Network over the Continental U.S
Adler, radler@umd.edu , Combining GLM and ABI Data for Enhanced GOES-R Rainfall Estimates
Rabin, rabin@ssec.wisc.edu , Improvements to QPE using GOES visible ABI and model data
2:55 pm Severe Weather and Tropical Cyclones
Petersen, Ralph.Petersen@ssec.wisc.edu , Improving GOES-R Temperature/Moisture Retrievals and Derived Products and
NearCasts using Hyper-spectral POES Soundings
Lindsey, Dan.Lindsey@noaa.gov , Convective Storm Forecasting 1-6 Hours Prior to Initiation
Knaff, John.Knaff@noaa.gov , Improved Understanding and Diagnosis of Tropical Cyclone Structure and Structure Changes
Project Names for “Observations and Techniques” presentations
3:45 pm Imagery
Gladkova, gladkova@cs.ccny.cuny.edu ,, Quantitative Image Restoration
Infrastructure/McIdas-X
Achtor, Tom.Achtor@ssec.wisc.edu , McIDAS-V Support for GOES-R Risk Reduction Projects
3:53 pm Land Properties
Kongoli, Cezar.Kongoli@noaa.gov , Application of the GOES-R Land Surface Temperature Product for Snowmelt Mapping
Ocean
Strub, tstrub@coas.oregonstate.edu , Ocean Surface Currents from SST: Derived Motion and Model Data Assimilation
Clouds
Mahani, mahani@ccny.cuny.edu , Cloud-top Relief Spatial Displacement Adjustments for GOES-R Images
Maturi, eileen.maturi@noaa.gov , Development of a Bayesian Cloud Mask for All GOES-R Applications
4:09 pm Data Assimilation
Weng/CRTM, fuzhong.weng@noaa.gov , Toward Operational Uses of Geostationary Imager Radiance Data in the GSI analysis system
Zupanski/ABI, ZupanskiM@cira.colostate.edu , Utility of GOES-R Geostationary Lightning Mapper (GLM) Using Hybrid
Variational-Ensemble Data Assimilation in Regional Applications
Navon/Fuelberg, inavon@fsu.edu , , hfuelberg@fsu.edu , JCSDA FFO Project
Fierro, MacGorman, Donald.Macgorman@noaa.gov , JCSDA FFO, Techniques for Assimilating Geostationary Lightning
Mapper Data and Assessment of the Resulting Impact on Forecasts
Daniels/AMVs, Jaime.Daniels@noaa.gov , Developing Assimilation Techniques for Atmospheric Motion Vectors Derived via a
New Nested Tracking Algorithm Derived for the GOES-R Advanced Baseline Imager (ABI)
Jun Li/ABI, Jun.Li@ssec.wisc.edu , The Utility of GOES-R and LEO Soundings for Hurricane Data Assimilation
and Forecasting
Thomas Jones, thomas.jones@noaa.gov , Warn on Forecast
Ming Xie, Radar Fusion
4:41 pm Cal/Val
Gunshor, matg@ssec.wisc.edu , Investigating the Effects of Detector-Averaged SRFs
Project Names for “Applications, Testbeds and Training” presentations
8:30 am Agriculture and Health
Hain, Chris.Hain@noaa.gov , Evapotranspiration and Drought Monitoring Using GOES-R Products for NIDIS
Tian, Yuhong.Tian@noaa.gov , Improving monitoring of tropical forests and their characterizations in NCEP models using
GOES-R ABI land products data
8:40 am Air Quality
Zhang, hazhang@umbc.edu , GOES-R air quality data distribution system
Kondragunta, Shobha.Kondragunta@noaa.gov, Assimilation of GOES-R ABI Aerosol Optical Depth (AOD) in a
Regional Air Quality Model to Improve Surface PM2.5 Forecasts
8:50 am Space Weather
Denig, william.denig@noaa.gov
9:05 am Proxy Radiance Data
Xue, mxue@ou.edu , Ensemble Simulation of GOES-R Proxy Radiance Data from CONUS Storm-Scale Ensemble Forecasts,
Product Demonstration and Assessment at the Hazardous Weather Testbed GOES-R Proving Ground
9:10 am Training
Ackerman, steve.a@ssec.wisc.edu , Satellite Meteorology Resources and a GOES-R Education Proving Ground
Connell, connell@cira.colostate.edu , National and International Training Development, Delivery, and Distribution
